The proposed systemModels are available at:
https://github.com/miquelindia90/DoubleAttentionSpeakerVerification
 in this work has been assessed by VoxCeleb dataset [1]}, [2]}. VoxCeleb is a large multimedia database that contains more than one million 16kHz audio utterances for more than 6K celebrities. VoxCeleb has two different versions with several evaluation protocols. For our experiments, VoxCeleb2 development partition with no augmentation have been used to train both baseline and presented approaches. On the other hand, the performance of these systems have been evaluated with Vox1 test, Vox1-E, and Vox1-H conditions. These protocols contain sets of 37,611, 581,480, and 552,536 of Vox1 random pairs, respectively. Vox1 test only uses the test set, Vox1-E uses the whole development + test corpus and Vox1-H is restricted to audio pairs from same nationality and gender speakers.
<TABLE>